Andreas Maier

355 to 360 of 396

07JUL 2020
Research Demo Videos
Browsing through Sealed Historical Manuscripts by using 3-D Computed Tomography with Low-brilliance X-ray Sources
Daniel Stromer, Vincent Christlein, Christine Martindale, Patrick Zippert, Eric Haltenberger, Tino Hausotte & Andreas Maier Severely damaged historical documents are extremely fragile. In many cases, their secrets remain concealed beneath their cover. Recently, non-invasive digitization approaches based on 3-D scanning have demonstrated the ability to recover single pages or letters without the need to open […]Daniel Stromer, Vincent Christlein, Christine Martindale, Patrick Zippert, Eric Haltenberger, Tino Hausotte & Andreas Maier Severely damaged historical documents are extremely fragile. In many cases, their secrets remain concealed beneath their cover. Recently, non-invasive digitization approaches based on 3-D scanning have demonstrated the ability to recover single pages or letters without the need to open […]
Read more about Browsing through Sealed Historical Manuscripts by using 3-D Computed Tomography with Low-brilliance X-ray Sources
07JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Feedforward Networks – Part 2
How can Networks actually be trained? These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual […]
Read more about Lecture Notes in Deep Learning: Feedforward Networks – Part 2
06JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Feedforward Networks – Part 1
Why do we need Deep Learning? These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual […]
Read more about Lecture Notes in Deep Learning: Feedforward Networks – Part 1
05JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Introduction – Part 5
Exercise Details & Outlook These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were […]
Read more about Lecture Notes in Deep Learning: Introduction – Part 5
04JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Introduction – Part 4
A short course in Pattern Recognition These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual […]
Read more about Lecture Notes in Deep Learning: Introduction – Part 4
03JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Introduction – Part 3
Limitations of Deep Learning and Future Directions These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor […]
Read more about Lecture Notes in Deep Learning: Introduction – Part 3